Author

Quentin Juppet

École Polytechnique Fédérale de LausanneORCID 0000-0001-9092-6509Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Cathrin BriskeniD· 1 shared Daniel SageiD· 1 shared Elodie Marcandalli· 1 shared Fabio De MartinoiD· 1 shared MARTIN G. WEIGERTiD· 1 shared Michael A. UnseriD· 1 shared Olivier BurriiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Cathrin BriskenORCID

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1 paper

Recent·Most cited

Systems BiologyJournal of Mammary Gland Biology and NeoplasiaPeer-reviewedMay 17, 2021

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features

Quentin Juppet, Fabio De Martino, Elodie Marcandalli…·Daniel Sage

The paper introduces a deep learning tool to classify xenograft cells in histological images by analyzing contextual features, achieving up to 96% accuracy in distinguishing human and murine cells.

10 citations

humanmouse

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